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Jiakai Liu

Showing results (31-40 of 62) with videos related to

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Nanoscale|June 19, 2023
Accurate and efficient machine learning models for predicting hydrogen evolution reaction catalysts based on structural and electronic feature engineering in alloysJingzi Zhang, Yuelin Wang, Xuyan Zhou, et al.
Peerj|October 23, 2019
Lead isotope trends and sources in the atmosphere at the artificial wetlandLing Cong, Jiexiu Zhai, Guoxin Yan, et al.
Scientific Reports|February 24, 2026
Demography and behavioral ecology of the Indian crested porcupine (Hystrix indica) in PunjabJiakai Liu, Zhenming Zhang, Muhammad Amjad Yaqoob, et al.
ACS Applied Materials & Interfaces|October 25, 2024
Enhancing Superconductor Critical Temperature Prediction: A Novel Machine Learning Approach Integrating Dopant RecognitionChengquan Zhong, Yuelin Wang, Yanwu Long, et al.
Journal of Environmental Management|January 14, 2020
The size and distribution of tidal creeks affects salt marsh restorationYanan Wu, Jiakai Liu, Guoxin Yan, et al.
Plos One|January 12, 2018
Sabina chinensis and Liriodendron chinense improve air quality in Beijing, ChinaYanan Wu, Wenmei Ma, Jiakai Liu, et al.
Plos One|June 22, 2018
Comparison of dry and wet deposition of particulate matter in near-surface waters during summerYanan Wu, Jiakai Liu, Jiexiu Zhai, et al.
Peerj|May 19, 2020
Understanding PM<sub>2.5</sub> concentration and removal efficiency variation in urban forest park-Observation at human breathing heightGuoxin Yan, Zibo Yu, Yanan Wu, et al.
ACS Applied Materials & Interfaces|June 16, 2023
Deep Generative Model for Inverse Design of High-Temperature Superconductor Compositions with Predicted <i>T</i><sub>c</sub> > 77 KChengquan Zhong, Jingzi Zhang, Xiaoting Lu, et al.
Environmental Science and Pollution Research International|August 27, 2015
Removal efficiency of particulate matters at different underlying surfaces in BeijingJiakai Liu, Lichun Mo, Lijuan Zhu, et al.
Pageof 7

Showing results (31-40 of 62) with videos related to

Sort By:
Pageof 7
Nanoscale|June 19, 2023
Accurate and efficient machine learning models for predicting hydrogen evolution reaction catalysts based on structural and electronic feature engineering in alloysJingzi Zhang, Yuelin Wang, Xuyan Zhou, et al.
Peerj|October 23, 2019
Lead isotope trends and sources in the atmosphere at the artificial wetlandLing Cong, Jiexiu Zhai, Guoxin Yan, et al.
Scientific Reports|February 24, 2026
Demography and behavioral ecology of the Indian crested porcupine (Hystrix indica) in PunjabJiakai Liu, Zhenming Zhang, Muhammad Amjad Yaqoob, et al.
ACS Applied Materials & Interfaces|October 25, 2024
Enhancing Superconductor Critical Temperature Prediction: A Novel Machine Learning Approach Integrating Dopant RecognitionChengquan Zhong, Yuelin Wang, Yanwu Long, et al.
Journal of Environmental Management|January 14, 2020
The size and distribution of tidal creeks affects salt marsh restorationYanan Wu, Jiakai Liu, Guoxin Yan, et al.
Plos One|January 12, 2018
Sabina chinensis and Liriodendron chinense improve air quality in Beijing, ChinaYanan Wu, Wenmei Ma, Jiakai Liu, et al.
Plos One|June 22, 2018
Comparison of dry and wet deposition of particulate matter in near-surface waters during summerYanan Wu, Jiakai Liu, Jiexiu Zhai, et al.
Peerj|May 19, 2020
Understanding PM<sub>2.5</sub> concentration and removal efficiency variation in urban forest park-Observation at human breathing heightGuoxin Yan, Zibo Yu, Yanan Wu, et al.
ACS Applied Materials & Interfaces|June 16, 2023
Deep Generative Model for Inverse Design of High-Temperature Superconductor Compositions with Predicted <i>T</i><sub>c</sub> > 77 KChengquan Zhong, Jingzi Zhang, Xiaoting Lu, et al.
Environmental Science and Pollution Research International|August 27, 2015
Removal efficiency of particulate matters at different underlying surfaces in BeijingJiakai Liu, Lichun Mo, Lijuan Zhu, et al.
Pageof 7